An overview of occupational accidents notification systems within the enlarged EU

This paper describes a comparative analysis of the official forms used for reporting occupational accidents within the EU-27 member states. The comparison is based on two analysis grids (coding schedule) created to that effect, which incorporate a set of evaluation criteria and an interpretation key. The results obtained in the analysis allowed for attention to be drawn to the relevant attributes of such forms in terms of their content and format/structure. It also revealed the main similarities and differences between each country, providing a complete assessment of the 27 member states. The discussion gives account of the level of implementation of the "new" Eurostat variables within the European Statistics of Accidents at Work (ESAW). Furthermore, the study shows that certain formats (structure of information fields) appear to facilitate completeness of the information collected. It has also demonstrated that the European harmonisation process is still far from completion, although the newcomer states seem to be adjusting quickly to the process. The findings of this study may bring useful insights to national authorities and European policy-makers, or to employers/enterprises wishing to implement their internal procedures aligned with the ESAW methodology. The scientific community is another interest group, whose research relies on official statistics, preferably comparable across all countries.     

Relationships Between Parents’ And Children’s Salient Values For Future And Children’s Overall Life Satisfaction. A Comparison Across Countries

In this paper, a model is set forth relating (a) overall life satisfaction of children to children’s values and (b) children’s values to parents’ values. Using confirmatory factor analysis models three dimensions of values (materialistic values, capacities and knowledge values and interpersonal relationship values) consistently emerged in 5 countries (Brazil, South Africa, Norway, Spain and India) for both parents and children. There was a considerable amount of missing data, mainly because the parent’s questionnaire was often not returned. Full information maximum likelihood estimators with missing data were thus used.Multiple-group analyses were next performed to assess factor invariance of the three value dimensions across the five countries for both parents and children. This implies testing the equality of factor loadings and intercepts across groups. This equality is required to ensure that factors have the same interpretation in all groups, which is necessary when comparing any aspect of the factor distribution across groups.The only two countries for which the interpretation of value dimensions was invariant for both parents and children were Brazil and Spain. The results of other countries could thus not be compared. Multiple-group structural equation models revealed that both parents and children scored higher on most values in Brazil than in Spain. In both countries, each child value dimension was only significantly predicted by the same value dimension of the parents. R-squares were in the 4–12% range and slightly higher in Brazil. The only value dimension that had some effect on overall life satisfaction was capacities and knowledge, which was so in both countries.Acknowledgements are due to the country project directors and their associates Per Egil Mjaavatn (Norwegian University of Science and Technology, Trondheim, Norway), Usha Nayar (Tata Institute of Social Sciences, India), Irene Rizzini (Pontifícia Universidade Católica do Rio de Janeiro, Brazil), Rose September (Western Cape University, South Africa) and Ferran Casas (Catalan Network of Child Researchers – XCIII – in co-operation with the University of Girona, Spain) for permitting us to use part of their project and to Childwatch International, Oslo, for sponsorship.     

Aggregate age-at-marriage patterns from individual mate-search heuristics

The distribution of age at first marriage shows well-known strong regularities across many countries and recent historical periods. We accounted for these patterns by developing agent-based models that simulate the aggregate behavior of individuals who are searching for marriage partners. Past models assumed fully rational agents with complete knowledge of the marriage market; our simulated agents used psychologically plausible simple heuristic mate search rules that adjust aspiration levels on the basis of a sequence of encounters with potential partners. Substantial individual variation must be included in the models to account for the demographically observed age-at-marriage patterns.     

Gender differences in psychosocial predictors of self-perceived health status in the elderly: Evidence from a Brazilian community study

ABSTRACT

This article aims to identify the psychosocial factors associated with self-perceived health status in the Brazilian elderly population and to present differences related to gender. The data were collected by questionnaire, including sociodemographic and behavioral questions, and scales for psychological dimensions. Self-perceived health status is related to level of education, physical activity, and self-efficacy in the total population. Regarding gender differences, self-rated health status among men is related to education level and self-efficacy and in women to level of education, physical activity, social support, and self-efficacy. These results can inform future health promotion interventions.     

Covid and Public Funds: More Opportunities for a Misuse? The Case of the Intermediate Governments of Galicia

Public Organization Review - Corruption and inefficiency of public funds pose a risk in public administrations. This paper analyses the corruption risk at the local level by analysing indicators of...     

A general framework for path convexities

Journal of Combinatorial Optimization - In this work we deal with the so-called path convexities, defined over special collections of paths. For example, the collection of the shortest paths in a...     

Assessing Adjustment to Aging: A Validation Study for the Adjustment to Aging Scale (AtAS)

Adjustment to aging (AtA) is a multifactor adjustment process with implications on aging well among older adults. The aim of this study was to develop and validate a scale to assess the factors that older adults recognized as indicators of their AtA, with a cross-national comparative perspective towards aging well. Convenience sampling was used to gather questionnaire data, including demographics and the proposed scale. Complete data was available for 1,291 older community-dwelling adults, aged between 75 and 102 years (M = 83.9; SD = 6.68), who represented four different nationalities. Exploratory and confirmatory factor analyses were performed for dimension reduction and exploration of the factorial structure. Data gathered with the 22-items AtA five-factor scale showed overall good psychometric properties (in terms of distributional properties, statistical significant factor weights, factorial, convergent, discriminant criterion and external-related validities, as well as reliability). Five factors were selected for the Adjustment to Aging Scale: (a) sense of purpose and ambitions (b) zest and spirituality; (c) body and health; (d) aging in place and stability; and (e) social support. We present a 22-item scale with five factors for AtA estimation in a cross-national elderly population which produced valid and reliable data for elder persons from four different nationalities. Results showed that this scale is an adequate cross-cultural instrument for research, clinical practice and program development in the health care context. These may benefit from clearly understanding AtA as an important component for reducing health disparities and for aging well, across nationalities.     

Application domains for the Delta method

The Delta method uses truncated Lagrange expansions of statistics to obtain approximations to their distributions. In this paper, we consider statistics Y=g(μ+X), where X is any random vector. We obtain domains 𝒟 such that, when μ∈𝒟, we may apply the distribution derived from the Delta method. Namely, we will consider an application on the normal case to illustrate our approach.     

Chisquared and related inducing pivot variables: an application to orthogonal mixed models

Abstract

We use chi-squared and related pivot variables to induce probability measures for model parameters, obtaining some results that will be useful on the induced densities. As illustration we considered mixed models with balanced cross nesting and used the algebraic structure to derive confidence intervals for the variance components. A numerical application is presented.